Results 1 to 10 of about 72,231 (70)
A Survey on Semi-, Self- and Unsupervised Learning for Image Classification
While deep learning strategies achieve outstanding results in computer vision tasks, one issue remains: The current strategies rely heavily on a huge amount of labeled data.
Lars Schmarje +3 more
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Thermodynamic fluctuation theorems govern human sensorimotor learning
The application of thermodynamic reasoning in the study of learning systems has a long tradition. Recently, new tools relating perfect thermodynamic adaptation to the adaptation process have been developed.
P. Hack +3 more
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Chronic mental illnesses (CMIs) pose a significant challenge to global health due to their complex and poorly understood etiologies and hence, absence of causal therapies.
Abhishek Cukkemane +8 more
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The radar cross section (RCS) is an important parameter that reflects the scattering characteristics of radar targets. Based on the monostatic radar RCS time series' statistical features by sliding window segmentation, a novel sliding window‐statistical ...
Lv Ye +5 more
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Multi-Feature Matching GM-PHD Filter for Radar Multi-Target Tracking
Multi-target tracking (MTT) is one of the most important functions of radar systems. Traditional multi-target tracking methods based on data association convert multi-target tracking problems into single-target tracking problems.
Jin Tao +5 more
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SPIRITUAL INTELLIGENCE: PROCESSING DIFFERENT INFORMATION OR PROCESSING INFORMATION DIFFERENTLY?
This article introduces the concept of spiritual intelligence in terms of a natural human ability to take a different perspective on reality rather than an extraordinary ability to engage with a different/supernatural reality.
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In this paper, we investigate the robust maximum-minimum eigenvalue (MME) detection problem caused by this uncertainty of geometric configuration.
Mingfei Xia +4 more
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Mobile authentication of copy detection patterns
In the recent years, the copy detection patterns (CDP) attracted a lot of attention as a link between the physical and digital worlds, which is of great interest for the internet of things and brand protection applications.
Olga Taran +5 more
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A Novel Joint Extraction Model for Entity Relations Using Interactive Encoding and Visual Attention
Relationship extraction is a fundamental task in natural language processing, with applications ranging from knowledge graph construction to information retrieval. Existing entity-relationship joint extraction models have made significant strides in this
Youren Yu +3 more
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Background The electromechanical function of myocardial tissue depends on the intercellular communication between cardiomyocytes (CMs) as well as their crosstalk with other cell types.
Krishna Chander Sridhar +4 more
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